60 citations · 71 across the 2 of their papers we have counts for
3 papers
Towards near-term quantum simulation of materials
Laura Clinton, Toby Cubitt, Brian Flynn +6
Simulation of materials is one of the most promising applications of quantum computers. On near-term hardware the crucial constraint on these simulations is circuit depth. Many qua…
Quantum Model Learning Agent: characterisation of quantum systems through machine learning
Brian Flynn, Antonio Andreas Gentile, Nathan Wiebe +2
Accurate models of real quantum systems are important for investigating their behaviour, yet are difficult to distill empirically. Here, we report an algorithm -- the Quantum Model…
Learning models of quantum systems from experiments
Antonio A. Gentile, Brian Flynn, Sebastian Knauer +6
An isolated system of interacting quantum particles is described by a Hamiltonian operator. Hamiltonian models underpin the study and analysis of physical and chemical processes th…